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# Data audit (2026-10-30)

All SHA-256 match data/README.md and bundle.json.

file data rows cols range NA dup dates gaps
vintages/..._2024-01-31.csv 307 2 1947-04-01..2023-10-01 0 0 none
vintages/..._2024-04-30.csv 308 2 ..2024-01-01 0 0 none
vintages/..._2024-07-31.csv 309 2 ..2024-04-01 0 0 none
vintages/..._2024-10-31.csv 310 2 ..2024-07-01 0 0 none
vintages/..._2025-01-31.csv 311 2 ..2024-10-01 0 0 none
vintages/..._2025-04-30.csv 312 2 ..2025-01-01 0 0 none
vintages/..._2025-07-31.csv 313 2 ..2025-04-01 0 0 none
vintages/..._2025-12-31.csv 314 2 ..2025-07-01 0 0 none
current_vintage.csv 318 2 1947-04-01..2026-07-01 0 0 none
first_release.csv 13 3 quarters 2023-07-01..2026-07-01 0 0 none

Units: % change from preceding quarter, SAAR (percentage points). SHA-256 values: see README (verified with shasum -a 256).

Anomalies:

  • COVID-19 quarters 2020Q2 (≈ −28) and 2020Q3 (≈ +35) are extreme outliers in all vintages; they would dominate OLS AR estimates. Handling: exclude regression observations whose dependent variable or lag falls in 2020Q2–2020Q3 (rows t = 2020Q2, 2020Q3, 2020Q4). Decision made before computing any forecast.
  • Origin spacing irregular: 8th origin is 2025-12-31 (advance 2025Q3 delayed by shutdown), per README. No handling needed; targets 2025Q4 and 2026Q1 have first releases.
  • Revisions between vintages are visible (e.g. 2023Q4: 3.3 → 3.4 → 3.2; 2025Q2: 3.0 → 3.8) — this is the real-time feature, handled by using each origin's own vintage.
  • All 16 target quarters (2024Q1..2026Q1) are present in first_release.csv. first_release_vintage_date of each h=1 target is after its origin (checked in analysis).

Availability: current_vintage.csv violates real-time availability for all origins → used only for revision statistic. first_release.csv values are post-origin by construction → used only as actuals.

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